Engeenior

Data Analysist

SMIT

Jul 2025 - Present • 1 yr

I am a dedicated and detail-oriented Data Analyst working with SMIT (Saylani Mass IT Training), where I actively analyze real-world datasets to extract meaningful insights and support data-driven decision-making. My core expertise lies in data cleaning, exploratory data analysis (EDA), data visualization, and statistical analysis using Python. I have hands-on experience working with structured datasets such as CSV and Excel files, handling missing values, detecting outliers, creating new features, and transforming raw data into clear, understandable insights. I regularly use Pandas and NumPy for data manipulation, and Seaborn and Matplotlib for creating professional charts, graphs, histograms, heatmaps, and trend analysis visuals that make data easy to interpret even for non-technical users. Through my work at SMIT, I have developed strong problem-solving and analytical thinking skills, allowing me to explain complex data patterns in a simple and logical way. I believe that data is only valuable when it tells a clear story, and my goal is to help clients uncover that story from their data. Whether you are a student, researcher, startup, or small business owner, I can help you understand your data, identify trends, compare performance, and gain actionable insights. I focus on writing clean, well-structured, and reusable Python code while ensuring timely delivery and clear communication. If you are looking for a reliable data analyst who can turn messy data into meaningful information and visually compelling analysis, I would be happy to work with you and help you make confident, data-driven decisions.

Freelancer

Self

Jan 2021 - Present • 5 yrs 6 mos

I am a professional freelance Data Scientist and AI specialist working since 2021, with extensive hands-on experience delivering real-world projects across data analysis, machine learning, artificial intelligence, and Python-based frameworks. Over the years, I have worked with diverse datasets and problem statements, helping clients transform raw, unstructured data into clear insights, predictive models, and intelligent solutions. My expertise includes Exploratory Data Analysis (EDA), data cleaning, feature engineering, statistical analysis, and data visualization using Pandas, NumPy, Matplotlib, and Seaborn, ensuring that results are both accurate and easy to understand. I have developed and implemented machine learning models for prediction and classification, as well as AI-driven solutions using Python frameworks such as Scikit-learn, while maintaining clean, efficient, and well-documented code. As a freelancer, I understand the importance of communication, clarity, and timely delivery, and I focus on explaining complex technical concepts in a simple, client-friendly manner. My project experience spans business analytics, salary and performance analysis, trend forecasting, automation scripts, and student-level to professional-grade data science solutions. I believe that data becomes powerful only when it is transformed into actionable intelligence, and my goal is to help individuals, startups, and businesses make confident, data-driven decisions. If you are looking for a reliable freelancer with proven experience in Python, Data Science, and AI projects, who can deliver meaningful insights and practical solutions, I am ready to collaborate and bring value to your project.